AI could also have a transformative effect on clinical decision-making through the utilisation of the huge levels of genomic, biomarker, phenotype, behavioural, biographical and clinical data that is generated across the health system. Bayer and Merck & Co provide a perfect example of this. They have developed an AI software system to support clinical decision-making of chronic thromboembolic pulmonary hypertension (CTEPH) – a rare form of pulmonary hypertension. The software helps differentiate patients from those suffering with similar symptoms that are actually a result of asthma and chronic obstructive pulmonary disease (COPD), and therefore diagnose CTEPH more reliably and efficiently. The CTEPH Pattern Recognition Artificial Intelligence obtained FDA Breakthrough Device Designation in December 2018.
An AI-controlled fighter jet will battle a US Air Force pilot in a simulated dogfight next week -- and you can watch the action online. The clash is the culmination of DARPA's AlphaDogfight competition, which the Pentagon's "mad science" wing launched to increase trust in AI-assisted combat. DARPA hopes this will raise support for using algorithms in simpler aerial operations, so pilots can focus on more challenging tasks, such as organizing teams of unmanned aircraft across the battlespace. The three-day event was scheduled to take place in-person in Las Vegas from August 18-20, but the COVID-19 pandemic led DARPA to move the event online. Before the teams take on the Air Force on August 20, the eight finalists will test their algorithms against five enemy AIs developed by Johns Hopkins Applied Physics Laboratory.
The White House and Defense Department on Monday announced a plan to accelerate the process by making a crucial new chunk of spectrum available to the wireless industry. The spectrum, which telecom companies will share with the Pentagon, aims to help wireless carriers offer 5G more broadly across the US. It also should generate billions of dollars for the US Treasury when auctioned off. The frequency is currently being used for high-power defense radar, but the DoD has determined that it can be freed up without affecting military systems. "It's a big deal," for the wireless industry, says Jason Leigh, an analyst at IDC who focuses on 5G.
Machines have gotten smaller and more efficient over the years. However, the majority of these microscopic-scale machines have limited capabilities due to restrictive movements -- something which the scientists have been working to rectify. The most extensive use case of this kind of technology could be seen in the Healthcare sector. I have recently talked about the extended role of nanotechnology in the future of Healthcare. Taking inspiration from the Japanese art of Origami, researchers at the University of Michigan have taken this approach to create more agile micro machines to be used in diverse fields like medical equipment and infrastructure sensing.
Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Questions like, "What are the processes they adopted, and at what speed? How did they make such autonomous decision?"
A newly published study by University of Michigan researchers shows facial recognition technology in schools presents multiple problems and has limited efficacy. Led by Shobita Parthasarathy, director of the university's Science, Technology, and Public Policy (STPP) program, the research say the technology isn't suited to security purposes and can actively promote racial discrimination, normalize surveillance, and erode privacy while institutionalizing inaccuracy and marginalizing non-conforming students. The study follows the New York legislature's passage of a moratorium on the use of facial recognition and other forms of biometric identification in schools until 2022. The bill, which came in response to the launch of facial recognition by the Lockport City School District, was among the first in the nation to explicitly regulate or ban use of the technology in schools. That development came after companies including Amazon, IBM, and Microsoft halted or ended the sale of facial recognition products in response to the first wave of Black Lives Matter protests in the U.S. The Michigan University study -- a part of STPP's Technology Assessment Project -- employs an analogical case comparison method to look at previous uses of security technology like CCTV cameras and metal detectors as well as biometric technologies and anticipate the implications of facial recognition.
Members of Congress are pushing the Pentagon to invest more in artificial intelligence for warfighting and improving business operations. The Defense Department has identified microelectronics, 5G communications and hypersonics as its top three research-and-development priorities. But House Armed Services Committee Chairman Rep. Adam Smith, D-Wash., said AI should be at the top of the list. "The most important technological advance is AI," he told reporters. "How we develop our AI technology and how we use it is going to be, I think, the No.1 priority" for those pulling the purse strings.
Managing Partner and Co-Founder of Scale-Up VC, a Silicon Valley venture capital firm based in Palo Alto, California. Experts have warned against its potential misuse. It's now affecting aspects of our lives that many of us never anticipated: healthcare, education, employment and even national security. What could I be talking about? Artificial intelligence, or the "big AI," as I call it.
An upcoming event to display and test AI-powered jet fighters will now be held virtually due to COVID-19. "We are still excited to see how the AI algorithms perform against each other as well as a Weapons School-trained human and hope that fighter pilots from across the Air Force, Navy, and Marine Corps, as well as military leaders and members of the AI tech community will register and watch online," said Col. Dan Javorsek, program manager in DARPA's Strategic Technology Office. "It's been amazing to see how far the teams have advanced AI for autonomous dogfighting in less than a year." DARPA (Defense Advanced Research Projects Agency) is using the AlphaDogfight Trial event to recruit more AI developers for its Air Combat Evolution (ACE) program. The upcoming event is the final in a series of three and will finish with a bang as the AI-powered F-16 fighter planes virtually take on a human pilot.
Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty.Swarming is a method of operations where multiple autonomous systems act as a cohesive unit by actively coordinating their actions.Army researchers said future multi-domain battles will require swarms of dynamically coupled, coordinated heterogeneous mobile platforms to overmatch enemy capabilities and threats targeting U.S. forces.The Army is looking to swarming technology to be able to execute time-consuming or dangerous tasks, said Dr. Jemin George of the U.S. Army Combat Capabilities Development Command's Army Research Laboratory."Finding optimal guidance policies for these swarming vehicles in real-time is a key requirement for enhancing warfighters' tactical situational awareness, allowing the U.S. Army to dominate in a contested environment," George said.Reinforcement learning ...